Jamming recognition - Open Access .click

Results 171 to 180 of about 20,008 (265)

Distributed Phased-Array Radar Mainlobe Interference Suppression and Cooperative Localization Based on CEEMDAN-WOBSS. [PDF]

Sensors (Basel)
Liu X, He H, Li R, Wu Y, Zhang X, You Y.
europepmc +1 more source

Diagnostic Odyssey of Atypical Long‐Chain 3‐Hydroxyacyl‐CoA Dehydrogenase Deficiency (LCHADD) Explained by Three Allelic Products From Two Pathogenic Variants

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Long‐chain 3‐hydroxyacyl‐CoA dehydrogenase deficiency (LCHADD) is an autosomal recessive mitochondrial defect of long‐chain fatty acid β‐oxidation, caused by biallelic pathogenic variants in HADHA or HADHB. We report a 22‐year‐old male with an atypically mild presentation of LCHADD who was referred to the Undiagnosed Diseases Network (UDN ...
Yutaka Furuta +9 more
wiley +1 more source

Intelligent anti-jamming communication technology with electromagnetic spectrum feature cognition. [PDF]

PLoS One
Zhao H, Zhao G, Wang X, Zhang Z, Xun X.
europepmc +1 more source

Response of an Infant With Presumed Multiple Acyl‐CoA Dehydrogenase Deficiency (MADD) to Ketone Supplementation

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Multiple Acyl‐CoA Dehydrogenase Deficiency (MADD) is an autosomal recessive inborn error of metabolism caused by biallelic pathogenic variants in one of three known genes: ETFA, ETFB, and ETFDH. It can cause multisystem dysfunction, including cardiomyopathy in severe cases.
Yutaka Furuta +17 more
wiley +1 more source

A Global Prospective Harmonization Framework for Suicidality, Anhedonia, and Obsessive‐Compulsive Symptoms in Psychiatric Genetic Studies: A Cross‐Continental Study Within the Ancestral Population Network

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT This study aims to prospectively collect harmonized, quantitative, and dimensional psychiatric phenotypes (suicidality, anhedonia, and obsessive‐compulsive symptoms) and information on discrimination, stigma, and unfair treatment in up to 27,500 individuals across diverse ancestries and clinical populations for genetic analysis within the NIMH
Ana M. Diaz‐Zuluaga +36 more
wiley +1 more source

GNSS Interference Identification Driven by Eye Pattern Features: ICOA-CNN-ResNet-BiLSTM Optimized Deep Learning Architecture. [PDF]

Entropy (Basel)
Wu C, Ji Y, Sun X.
europepmc +1 more source

Are There Causal Associations Between Obsessive‐Compulsive Disorder and Cardiometabolic Phenotypes? A Genetic Correlation and Bi‐Directional Mendelian Randomization Study

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT In epidemiological studies, obsessive‐compulsive disorder (OCD) is robustly associated with increased risk of cardiometabolic disorders, including cardiovascular diseases, type 2 diabetes, and obesity. However, the mechanisms behind these associations are unclear. We conducted genetic correlation analyses to explore shared genetic etiology and
Robyn E. Wootton +217 more
wiley +1 more source

Approach to mallet finger injury: Practical guide for Canadian primary care physicians. [PDF]

Can Fam Physician
Dinh V, Market M, Cheung K.
europepmc +1 more source

Understanding the Housing and Support Experience of People With Complex Disability in Australia: A Qualitative Analysis of Submissions to the Disability Royal Commission

Australian Journal of Social Issues, EarlyView.
ABSTRACT In 2019, the Australian government established the Royal Commission into Violence, Abuse, Neglect and Exploitation of People with Disability (‘Disability Royal Commission’, DRC) to investigate widespread mistreatment of people with disability. Nearly 10,000 people with disability, their families and supporters engaged with the DRC.
Kate D'Cruz +7 more
wiley +1 more source

Automatic modulation classification for interrupted sampling proximity detector signals using time-frequency reconstruction network and polynomial chirplet transform. [PDF]

Sci Rep
Yi G, Hao X, Yan X, Hu D, Wang Y, Dai J.
europepmc +1 more source

jamming
radar signal processing
recognition

feature extraction
electronic countermeasures
deep learning

science
convolutional neural network cnn
radar interference